GPS Tracking | Breaking Cybersecurity News | The Hacker News

Cybersecurity researchers have discovered a novel surveillance program that's suspected to be used by Chinese police departments as a lawful intercept tool to gather a wide range of information from mobile devices. The Android tool, codenamed EagleMsgSpy by Lookout, has been operational since at least 2017, with artifacts uploaded to the VirusTotal malware scanning platform as recently as September 25, 2024. "The surveillanceware consists of two parts: an installer APK, and a surveillance client that runs headlessly on the device when installed," Kristina Balaam, senior staff threat intelligence researcher at Lookout, said in a technical report shared with The Hacker News. "EagleMsgSpy collects extensive data from the user: third-party chat messages, screen recording and screenshot capture, audio recordings, call logs, device contacts, SMS messages, location data, [and] network activity." EagleMsgSpy has been described by its developers as a "compreh...

Two security vulnerabilities have been disclosed in the open-source Traccar GPS tracking system that could be potentially exploited by unauthenticated attackers to achieve remote code execution under certain circumstances. Both the vulnerabilities are path traversal flaws and could be weaponized if guest registration is enabled, which is the default configuration for Traccar 5, Horizon3.ai researcher Naveen Sunkavally said. A brief description of the shortcomings is as follows - CVE-2024-24809 (CVSS score: 8.5) - Path Traversal: 'dir/../../filename' and unrestricted upload of file with dangerous type CVE-2024-31214 (CVSS score: 9.7) - Unrestricted file upload vulnerability in device image upload could lead to remote code execution "The net result of CVE-2024-31214 and CVE-2024-24809 is that an attacker can place files with arbitrary content anywhere on the file system," Sunkavally said . "However an attacker only has partial control over the filename....

As SaaS providers race to integrate AI into their product offerings to stay competitive and relevant, a new challenge has emerged in the world of AI: shadow AI.  Shadow AI refers to the unauthorized use of AI tools and copilots at organizations. For example, a developer using ChatGPT to assist with writing code, a salesperson downloading an AI-powered meeting transcription tool, or a customer support person using Agentic AI to automate tasks – without going through the proper channels. When these tools are used without IT or the Security team's knowledge, they often lack sufficient security controls, putting company data at risk. Shadow AI Detection Challenges Because shadow AI tools often embed themselves in approved business applications via AI assistants, copilots, and agents they are even more tricky to discover than traditional shadow IT. While traditional shadow apps can be identified through network monitoring methodologies that scan for unauthorized connections based on...